Cited by 341Internet of Things and AIInnovation in Digital Healthcare SystemsSmart Cities and Technologies

The DOI matches its Crossref record; 93 of the 100 references it cites were found in a registry or an index.

Smart health: Big data enabled health paradigm within smart cities

Overview

Integrity signals

Registry

Crossref · 10.1016/j.eswa.2017.06.027

Cites

93 of 93 references verified0 citation errors · 0 not checkable

Statistics

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Verification

Claims the paper makes

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Claims other papers make about this one

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Citations

Cites

Show all 100 references

Research works printed but not linked: 6

  1. Cerrato, 2011, Hospital rooms get smart, Information Week
  2. Ebel, 2013, Strengthening health care's supply chain: A five-step plan, McKinsey Quarterly, 1
  3. Groves, 2013, The ‘big data’ revolution in healthcare, McKinsey Quarterly, 2, 10
  4. MHCG, (2010). https://www.03.ibm.com/press/au/en/.
  5. Qin, 2010, Development status of domestic and foreign smart city, Global Presence, 9, 50
  6. Zhou, 2008, Semi-automatic segmentation of 3D liver tumors from CT scans using voxel classification and propagational learning, Vol. 41, 43

Cited by

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Metadata

Authors
Pramanik, M. I., Lau, R. Y. K., Demirkan, H., & Azad, M. A. K.
Affiliations
  • City University of Hong Kong (HK)
  • University of Washington Tacoma (US)
  • Begum Rokeya University (BD)
Corresponding author
Pramanik, Md Ileas
Venue
Expert Systems with Applications
Publisher
Elsevier BV
Published
2017-11
Volume
87
Pages
370-383
ISSN
0957-4174 (ISSN-L)
OpenAlex
W2711661370
Cited by
341
References
100
Citations by year
2026: 10 · 2025: 19 · 2024: 29 · 2023: 40 · 2022: 55 · 2021: 66 · 2020: 50 · 2019: 36 · 2018: 31 · 2017: 5
FWCI
62.12
Type
journal article
Language
en
Open access
closed
Locations
  • Expert Systems with Applications (publishedVersion)
  • University of Washington Tacoma Digital Commons (University of Washington Tacoma) (submittedVersion)
Funders
  • Research Grants Council (CityU 11502115, CityU 11525716)
  • NSFC (71671155)
  • Shenzhen Municipal Science and Technology R&D Funding (JCYJ20160229165300897)
Topics
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
  • Health Sciences › Health Professions › Health Information Management › Innovation in Digital Healthcare Systems
  • Social Sciences › Urban Studies › Smart Cities and Technologies
Keywords
big data, smart healthcare, smart cities, healthcare business models, paradigm shift, three-dimensional structure, ubiquitous computing, healthcare innovation, organizational strategy

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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